Overview

Dataset statistics

Number of variables30
Number of observations284808
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows5149
Duplicate rows (%)1.8%
Total size in memory65.2 MiB
Average record size in memory240.0 B

Variable types

Numeric29
Categorical1

Alerts

Dataset has 5149 (1.8%) duplicate rowsDuplicates
V2 is highly overall correlated with AmountHigh correlation
V10 is highly overall correlated with ClassHigh correlation
V11 is highly overall correlated with ClassHigh correlation
V12 is highly overall correlated with ClassHigh correlation
V14 is highly overall correlated with ClassHigh correlation
V16 is highly overall correlated with ClassHigh correlation
V17 is highly overall correlated with ClassHigh correlation
V18 is highly overall correlated with ClassHigh correlation
V21 is highly overall correlated with V22High correlation
V22 is highly overall correlated with V21High correlation
Amount is highly overall correlated with V2High correlation
Class is highly overall correlated with V10 and 6 other fieldsHigh correlation
Class is highly imbalanced (98.2%)Imbalance

Reproduction

Analysis started2023-06-16 08:44:00.007935
Analysis finished2023-06-16 08:49:39.975103
Duration5 minutes and 39.97 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

V1
Real number (ℝ)

Distinct275653
Distinct (%)96.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.7591113 × 10-12
Minimum-56.40751
Maximum2.45493
Zeros0
Zeros (%)0.0%
Negative141456
Negative (%)49.7%
Memory size2.2 MiB
2023-06-16T17:49:40.138023image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-56.40751
5-th percentile-2.8991468
Q1-0.92037338
median0.018108799
Q31.3156417
95-th percentile2.0812231
Maximum2.45493
Range58.86244
Interquartile range (IQR)2.2360151

Descriptive statistics

Standard deviation1.9586958
Coefficient of variation (CV)1.1134576 × 1012
Kurtosis32.486679
Mean1.7591113 × 10-12
Median Absolute Deviation (MAD)1.1946854
Skewness-3.2806673
Sum5.0101198 × 10-7
Variance3.8364893
MonotonicityNot monotonic
2023-06-16T17:49:40.284971image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.055797006 77
 
< 0.1%
1.245673819 77
 
< 0.1%
2.053311214 62
 
< 0.1%
1.302377965 60
 
< 0.1%
2.040211058 53
 
< 0.1%
2.085174876 48
 
< 0.1%
1.332849312 45
 
< 0.1%
1.01841182 40
 
< 0.1%
1.335053154 39
 
< 0.1%
1.315404172 36
 
< 0.1%
Other values (275643) 284270
99.8%
ValueCountFrequency (%)
-56.40750963 1
< 0.1%
-46.8550472 1
< 0.1%
-41.92873752 1
< 0.1%
-40.47014184 1
< 0.1%
-40.0425375 1
< 0.1%
-37.55806711 1
< 0.1%
-37.05429492 1
< 0.1%
-36.80231991 1
< 0.1%
-36.51058317 1
< 0.1%
-35.90510491 1
< 0.1%
ValueCountFrequency (%)
2.454929991 1
< 0.1%
2.45188849 1
< 0.1%
2.446504985 1
< 0.1%
2.439207481 1
< 0.1%
2.430506781 1
< 0.1%
2.422507732 1
< 0.1%
2.420346134 1
< 0.1%
2.420063784 1
< 0.1%
2.418801755 1
< 0.1%
2.41826698 1
< 0.1%

V2
Real number (ℝ)

Distinct275655
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.5554552 × 10-7
Minimum-72.715728
Maximum22.057729
Zeros0
Zeros (%)0.0%
Negative134219
Negative (%)47.1%
Memory size2.2 MiB
2023-06-16T17:49:40.493282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-72.715728
5-th percentile-1.9719632
Q1-0.59854759
median0.06547639
Q30.80372202
95-th percentile1.8085848
Maximum22.057729
Range94.773457
Interquartile range (IQR)1.4022696

Descriptive statistics

Standard deviation1.6513057
Coefficient of variation (CV)-6461884.7
Kurtosis95.773449
Mean-2.5554552 × 10-7
Median Absolute Deviation (MAD)0.70275484
Skewness-4.6248732
Sum-0.072781408
Variance2.7268105
MonotonicityNot monotonic
2023-06-16T17:49:40.661008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.326667773 77
 
< 0.1%
0.16697502 77
 
< 0.1%
0.089734648 62
 
< 0.1%
-0.606529308 60
 
< 0.1%
-0.146974975 53
 
< 0.1%
0.393050578 48
 
< 0.1%
0.389198249 45
 
< 0.1%
1.036663009 40
 
< 0.1%
0.331464026 39
 
< 0.1%
-0.033577086 36
 
< 0.1%
Other values (275645) 284271
99.8%
ValueCountFrequency (%)
-72.71572756 1
< 0.1%
-63.34469832 1
< 0.1%
-60.46461766 1
< 0.1%
-50.38326913 1
< 0.1%
-48.06085602 1
< 0.1%
-47.42967628 1
< 0.1%
-45.60797256 1
< 0.1%
-44.63924472 1
< 0.1%
-42.17268752 1
< 0.1%
-40.97885223 1
< 0.1%
ValueCountFrequency (%)
22.05772899 1
 
< 0.1%
21.46720299 1
 
< 0.1%
19.16723901 1
 
< 0.1%
18.90245284 1
 
< 0.1%
18.18362646 1
 
< 0.1%
17.93055045 1
 
< 0.1%
17.41864877 1
 
< 0.1%
16.71338924 1
 
< 0.1%
16.69783169 1
 
< 0.1%
16.4974719 4
< 0.1%

V3
Real number (ℝ)

Distinct275657
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9054607 × 10-6
Minimum-48.325589
Maximum9.3825584
Zeros0
Zeros (%)0.0%
Negative128163
Negative (%)45.0%
Memory size2.2 MiB
2023-06-16T17:49:40.862020image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-48.325589
5-th percentile-2.3897379
Q1-0.89036136
median0.17984839
Q31.0272025
95-th percentile2.0626522
Maximum9.3825584
Range57.708148
Interquartile range (IQR)1.9175639

Descriptive statistics

Standard deviation1.5162598
Coefficient of variation (CV)170261.8
Kurtosis26.619153
Mean8.9054607 × 10-6
Median Absolute Deviation (MAD)0.93563263
Skewness-2.2401275
Sum2.5363465
Variance2.2990438
MonotonicityNot monotonic
2023-06-16T17:49:41.024864image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.752040956 77
 
< 0.1%
0.488305743 77
 
< 0.1%
-1.681835669 62
 
< 0.1%
-0.681986193 60
 
< 0.1%
-2.955933665 53
 
< 0.1%
-4.508200532 48
 
< 0.1%
-2.165596605 45
 
< 0.1%
-1.689813707 40
 
< 0.1%
-2.057762777 39
 
< 0.1%
-1.089984306 36
 
< 0.1%
Other values (275647) 284271
99.8%
ValueCountFrequency (%)
-48.32558936 1
 
< 0.1%
-33.68098402 1
 
< 0.1%
-32.96534576 1
 
< 0.1%
-32.45419819 1
 
< 0.1%
-31.81358595 1
 
< 0.1%
-31.10368482 1
 
< 0.1%
-30.55869682 1
 
< 0.1%
-30.17731746 4
< 0.1%
-30.01371249 1
 
< 0.1%
-29.46873209 1
 
< 0.1%
ValueCountFrequency (%)
9.382558433 1
< 0.1%
4.22610848 1
< 0.1%
4.187810599 1
< 0.1%
4.101716178 1
< 0.1%
4.079167812 1
< 0.1%
4.069864781 1
< 0.1%
4.040465001 1
< 0.1%
4.029428319 1
< 0.1%
4.017561418 1
< 0.1%
3.985446047 1
< 0.1%

V4
Real number (ℝ)

Distinct275654
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8388931 × 10-6
Minimum-5.6831712
Maximum16.875344
Zeros0
Zeros (%)0.0%
Negative144105
Negative (%)50.6%
Memory size2.2 MiB
2023-06-16T17:49:41.211815image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-5.6831712
5-th percentile-2.1956686
Q1-0.84863873
median-0.019844654
Q30.74335414
95-th percentile2.566497
Maximum16.875344
Range22.558515
Interquartile range (IQR)1.5919929

Descriptive statistics

Standard deviation1.4158684
Coefficient of variation (CV)292601.72
Kurtosis2.6354311
Mean4.8388931 × 10-6
Median Absolute Deviation (MAD)0.79991358
Skewness0.6762829
Sum1.3781555
Variance2.0046835
MonotonicityNot monotonic
2023-06-16T17:49:41.443768image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.635321921 77
 
< 0.1%
-0.842316033 77
 
< 0.1%
0.45421196 62
 
< 0.1%
-1.904603396 60
 
< 0.1%
-0.578355979 53
 
< 0.1%
-0.311770683 48
 
< 0.1%
-0.306872624 45
 
< 0.1%
1.315475833 40
 
< 0.1%
-0.346175355 39
 
< 0.1%
-0.557087388 36
 
< 0.1%
Other values (275644) 284271
99.8%
ValueCountFrequency (%)
-5.683171198 1
< 0.1%
-5.600607141 1
< 0.1%
-5.560117581 1
< 0.1%
-5.519697123 1
< 0.1%
-5.416315392 1
< 0.1%
-5.40167758 1
< 0.1%
-5.266508626 1
< 0.1%
-5.26306793 1
< 0.1%
-5.251491643 1
< 0.1%
-5.231827865 1
< 0.1%
ValueCountFrequency (%)
16.87534403 1
< 0.1%
16.71553737 1
< 0.1%
16.49121717 1
< 0.1%
15.30418399 1
< 0.1%
13.1436681 1
< 0.1%
13.12914336 1
< 0.1%
12.69954199 1
< 0.1%
12.67275992 1
< 0.1%
12.15501612 1
< 0.1%
12.13232308 1
< 0.1%

V5
Real number (ℝ)

Distinct275657
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1878905 × 10-6
Minimum-113.74331
Maximum34.801666
Zeros0
Zeros (%)0.0%
Negative148929
Negative (%)52.3%
Memory size2.2 MiB
2023-06-16T17:49:41.630072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-113.74331
5-th percentile-1.7020147
Q1-0.69159465
median-0.054336207
Q30.61192623
95-th percentile2.0989562
Maximum34.801666
Range148.54497
Interquartile range (IQR)1.3035209

Descriptive statistics

Standard deviation1.3802445
Coefficient of variation (CV)-1161929
Kurtosis206.9052
Mean-1.1878905 × 10-6
Median Absolute Deviation (MAD)0.65152937
Skewness-2.4259025
Sum-0.33832072
Variance1.9050748
MonotonicityNot monotonic
2023-06-16T17:49:41.802821image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.46307226 77
 
< 0.1%
-0.562776681 77
 
< 0.1%
0.298310371 62
 
< 0.1%
1.326623107 60
 
< 0.1%
2.609358271 53
 
< 0.1%
3.510116942 48
 
< 0.1%
2.641351251 45
 
< 0.1%
1.698436056 40
 
< 0.1%
2.583233822 39
 
< 0.1%
2.0299312 36
 
< 0.1%
Other values (275647) 284271
99.8%
ValueCountFrequency (%)
-113.7433067 1
< 0.1%
-42.14789837 1
< 0.1%
-40.4277263 1
< 0.1%
-35.18212031 1
< 0.1%
-32.092129 1
< 0.1%
-31.3567501 1
< 0.1%
-29.73059986 1
< 0.1%
-28.81557695 1
< 0.1%
-28.36378524 1
< 0.1%
-27.75296366 1
< 0.1%
ValueCountFrequency (%)
34.80166588 1
< 0.1%
34.09930934 1
< 0.1%
32.9114617 1
< 0.1%
31.45704605 1
< 0.1%
29.16217202 1
< 0.1%
29.01612354 1
< 0.1%
28.76267129 1
< 0.1%
28.51651308 1
< 0.1%
26.64769652 1
< 0.1%
25.60407727 1
< 0.1%

V6
Real number (ℝ)

Distinct275652
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6235074 × 10-6
Minimum-26.160506
Maximum73.301626
Zeros0
Zeros (%)0.0%
Negative176633
Negative (%)62.0%
Memory size2.2 MiB
2023-06-16T17:49:41.997456image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-26.160506
5-th percentile-1.4067569
Q1-0.76829538
median-0.27418567
Q30.3985702
95-th percentile3.1603806
Maximum73.301626
Range99.462131
Interquartile range (IQR)1.1668656

Descriptive statistics

Standard deviation1.332269
Coefficient of variation (CV)820611.61
Kurtosis42.642607
Mean1.6235074 × 10-6
Median Absolute Deviation (MAD)0.55962852
Skewness1.8265792
Sum0.4623879
Variance1.7749408
MonotonicityNot monotonic
2023-06-16T17:49:42.172720image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.011072616 77
 
< 0.1%
3.173856423 77
 
< 0.1%
-0.953526086 62
 
< 0.1%
3.436312447 60
 
< 0.1%
3.142641531 53
 
< 0.1%
2.45329922 48
 
< 0.1%
2.808083764 45
 
< 0.1%
0.528806549 40
 
< 0.1%
2.854101997 39
 
< 0.1%
2.762439585 36
 
< 0.1%
Other values (275642) 284271
99.8%
ValueCountFrequency (%)
-26.16050594 1
< 0.1%
-23.49671393 1
< 0.1%
-21.92931229 1
< 0.1%
-21.24875162 1
< 0.1%
-20.86962619 1
< 0.1%
-20.36783638 1
< 0.1%
-20.05461547 1
< 0.1%
-19.99634854 1
< 0.1%
-17.92727412 1
< 0.1%
-17.57483526 1
< 0.1%
ValueCountFrequency (%)
73.30162555 1
< 0.1%
23.91783713 1
< 0.1%
22.52929847 1
< 0.1%
21.55049619 1
< 0.1%
21.39306876 1
< 0.1%
21.30773787 1
< 0.1%
21.1901941 1
< 0.1%
20.37952437 1
< 0.1%
18.07203126 1
< 0.1%
17.0199344 1
< 0.1%

V7
Real number (ℝ)

Distinct275651
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4126312 × 10-7
Minimum-43.557242
Maximum120.58949
Zeros0
Zeros (%)0.0%
Negative135852
Negative (%)47.7%
Memory size2.2 MiB
2023-06-16T17:49:42.312148image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-43.557242
5-th percentile-1.4344205
Q1-0.55407173
median0.040103462
Q30.57043086
95-th percentile1.4076303
Maximum120.58949
Range164.14674
Interquartile range (IQR)1.1245026

Descriptive statistics

Standard deviation1.2370915
Coefficient of variation (CV)1470516.7
Kurtosis405.60874
Mean8.4126312 × 10-7
Median Absolute Deviation (MAD)0.56186284
Skewness2.5539094
Sum0.23959847
Variance1.5303954
MonotonicityNot monotonic
2023-06-16T17:49:42.583265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.432125924 77
 
< 0.1%
0.014952661 77
 
< 0.1%
0.152002545 62
 
< 0.1%
-1.145126827 60
 
< 0.1%
-0.416882841 53
 
< 0.1%
0.220468581 48
 
< 0.1%
-0.171626636 45
 
< 0.1%
0.331714502 40
 
< 0.1%
-0.187547337 39
 
< 0.1%
-0.534993827 36
 
< 0.1%
Other values (275641) 284271
99.8%
ValueCountFrequency (%)
-43.55724157 1
 
< 0.1%
-41.50679608 1
 
< 0.1%
-37.06031146 1
 
< 0.1%
-33.23932817 1
 
< 0.1%
-31.76494649 1
 
< 0.1%
-31.19732855 4
< 0.1%
-28.21511205 1
 
< 0.1%
-28.01129291 1
 
< 0.1%
-26.54814377 1
 
< 0.1%
-24.41948294 1
 
< 0.1%
ValueCountFrequency (%)
120.5894939 1
< 0.1%
44.05446136 1
< 0.1%
36.87736827 1
< 0.1%
36.67726795 1
< 0.1%
34.30317686 1
< 0.1%
31.52724367 1
< 0.1%
30.8976664 1
< 0.1%
29.20586818 1
< 0.1%
28.50406537 1
< 0.1%
28.23952821 1
< 0.1%

V8
Real number (ℝ)

Distinct275643
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4654197 × 10-7
Minimum-73.216718
Maximum20.007208
Zeros0
Zeros (%)0.0%
Negative135521
Negative (%)47.6%
Memory size2.2 MiB
2023-06-16T17:49:42.775038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-73.216718
5-th percentile-0.84214195
Q1-0.20862891
median0.022358219
Q30.32734586
95-th percentile1.0499804
Maximum20.007208
Range93.223927
Interquartile range (IQR)0.53597478

Descriptive statistics

Standard deviation1.1943508
Coefficient of variation (CV)3446482.4
Kurtosis220.58776
Mean3.4654197 × 10-7
Median Absolute Deviation (MAD)0.25896237
Skewness-8.5219597
Sum0.098697926
Variance1.4264739
MonotonicityNot monotonic
2023-06-16T17:49:43.015817image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.727706201 77
 
< 0.1%
-0.160210863 77
 
< 0.1%
-0.20707138 62
 
< 0.1%
0.959147262 60
 
< 0.1%
0.784392948 53
 
< 0.1%
0.543376801 48
 
< 0.1%
0.683351734 45
 
< 0.1%
0.364538762 40
 
< 0.1%
0.68515377 39
 
< 0.1%
0.808250098 36
 
< 0.1%
Other values (275633) 284271
99.8%
ValueCountFrequency (%)
-73.21671846 1
< 0.1%
-50.94336887 1
< 0.1%
-50.68841936 1
< 0.1%
-50.42009006 1
< 0.1%
-41.48482251 1
< 0.1%
-41.04426092 1
< 0.1%
-39.68857108 1
< 0.1%
-39.26737777 1
< 0.1%
-38.98726274 1
< 0.1%
-38.75152521 1
< 0.1%
ValueCountFrequency (%)
20.00720837 1
< 0.1%
19.58777262 1
< 0.1%
19.16832739 1
< 0.1%
18.74887195 1
< 0.1%
18.70925454 1
< 0.1%
18.32940553 1
< 0.1%
18.28216761 1
< 0.1%
17.94136306 1
< 0.1%
17.90357438 1
< 0.1%
17.57371241 1
< 0.1%

V9
Real number (ℝ)

Distinct275656
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2773048 × 10-6
Minimum-13.434066
Maximum15.594995
Zeros0
Zeros (%)0.0%
Negative149455
Negative (%)52.5%
Memory size2.2 MiB
2023-06-16T17:49:43.230469image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-13.434066
5-th percentile-1.7584224
Q1-0.64309677
median-0.051428017
Q30.59713835
95-th percentile1.7807786
Maximum15.594995
Range29.029061
Interquartile range (IQR)1.2402351

Descriptive statistics

Standard deviation1.0986304
Coefficient of variation (CV)860116.04
Kurtosis3.7313265
Mean1.2773048 × 10-6
Median Absolute Deviation (MAD)0.62026888
Skewness0.55467706
Sum0.36378663
Variance1.2069887
MonotonicityNot monotonic
2023-06-16T17:49:43.427525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.170361852 77
 
< 0.1%
0.60860587 77
 
< 0.1%
0.587335266 62
 
< 0.1%
1.671301564 60
 
< 0.1%
0.359902379 53
 
< 0.1%
-0.100433905 48
 
< 0.1%
-0.297962001 45
 
< 0.1%
-0.711797939 40
 
< 0.1%
-0.286614069 39
 
< 0.1%
-0.052724038 36
 
< 0.1%
Other values (275646) 284271
99.8%
ValueCountFrequency (%)
-13.43406632 1
 
< 0.1%
-13.32015469 1
 
< 0.1%
-11.12662352 1
 
< 0.1%
-10.84252587 1
 
< 0.1%
-9.481456334 1
 
< 0.1%
-9.462572605 4
< 0.1%
-9.283924512 1
 
< 0.1%
-8.9609217 1
 
< 0.1%
-8.739670371 1
 
< 0.1%
-8.630390306 1
 
< 0.1%
ValueCountFrequency (%)
15.59499461 1
< 0.1%
10.39288882 1
< 0.1%
10.37065798 1
< 0.1%
10.3484067 1
< 0.1%
10.32613305 1
< 0.1%
10.31397373 1
< 0.1%
9.272375626 1
< 0.1%
9.234623452 1
< 0.1%
9.213022586 1
< 0.1%
9.125534903 1
< 0.1%

V10
Real number (ℝ)

Distinct275646
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1879152 × 10-7
Minimum-24.588262
Maximum23.745136
Zeros0
Zeros (%)0.0%
Negative159922
Negative (%)56.2%
Memory size2.2 MiB
2023-06-16T17:49:43.612027image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24.588262
5-th percentile-1.3386356
Q1-0.53542526
median-0.092912704
Q30.45391266
95-th percentile1.5485572
Maximum23.745136
Range48.333399
Interquartile range (IQR)0.98933792

Descriptive statistics

Standard deviation1.0888479
Coefficient of variation (CV)3415548.4
Kurtosis31.988359
Mean3.1879152 × 10-7
Median Absolute Deviation (MAD)0.48008326
Skewness1.1871418
Sum0.090794374
Variance1.1855897
MonotonicityNot monotonic
2023-06-16T17:49:43.804608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.044574589 77
 
< 0.1%
-0.07518617 77
 
< 0.1%
-0.362047348 62
 
< 0.1%
-1.02294603 60
 
< 0.1%
-0.351075101 53
 
< 0.1%
-1.0186222 48
 
< 0.1%
-0.6520966 45
 
< 0.1%
-1.57028828 40
 
< 0.1%
-0.535902735 39
 
< 0.1%
0.001148755 36
 
< 0.1%
Other values (275636) 284271
99.8%
ValueCountFrequency (%)
-24.58826244 1
 
< 0.1%
-24.40318497 1
 
< 0.1%
-23.22825484 1
 
< 0.1%
-22.18708856 4
< 0.1%
-20.94919155 1
 
< 0.1%
-19.83614885 1
 
< 0.1%
-18.91324333 1
 
< 0.1%
-18.27116817 1
 
< 0.1%
-17.14151364 1
 
< 0.1%
-16.74604411 1
 
< 0.1%
ValueCountFrequency (%)
23.74513612 1
< 0.1%
15.33174156 1
< 0.1%
15.24568569 1
< 0.1%
15.2360282 1
< 0.1%
13.81175777 1
< 0.1%
13.7273472 1
< 0.1%
13.6444596 1
< 0.1%
13.56015529 1
< 0.1%
13.24943301 1
< 0.1%
13.19822576 1
< 0.1%

V11
Real number (ℝ)

Distinct275648
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.9367398 × 10-6
Minimum-4.7974735
Maximum12.018913
Zeros0
Zeros (%)0.0%
Negative145633
Negative (%)51.1%
Memory size2.2 MiB
2023-06-16T17:49:43.980081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-4.7974735
5-th percentile-1.5719011
Q1-0.76249256
median-0.032757459
Q30.73959193
95-th percentile1.6140313
Maximum12.018913
Range16.816387
Interquartile range (IQR)1.5020845

Descriptive statistics

Standard deviation1.0207118
Coefficient of variation (CV)-527025.75
Kurtosis1.633931
Mean-1.9367398 × 10-6
Median Absolute Deviation (MAD)0.75029288
Skewness0.35651107
Sum-0.551599
Variance1.0418525
MonotonicityNot monotonic
2023-06-16T17:49:44.153371image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.063504458 77
 
< 0.1%
-0.356749018 77
 
< 0.1%
-0.58959804 62
 
< 0.1%
-0.191422973 60
 
< 0.1%
0.329650884 53
 
< 0.1%
0.807038107 48
 
< 0.1%
0.418002665 45
 
< 0.1%
3.463017821 40
 
< 0.1%
0.332848418 39
 
< 0.1%
-0.111087964 36
 
< 0.1%
Other values (275638) 284271
99.8%
ValueCountFrequency (%)
-4.797473465 1
< 0.1%
-4.682930548 1
< 0.1%
-4.568390246 1
< 0.1%
-4.453852842 1
< 0.1%
-4.339318655 1
< 0.1%
-4.224788057 1
< 0.1%
-4.110261479 2
< 0.1%
-4.049894914 2
< 0.1%
-4.034717859 2
< 0.1%
-4.010267867 2
< 0.1%
ValueCountFrequency (%)
12.01891318 1
< 0.1%
11.66920474 1
< 0.1%
11.61972348 1
< 0.1%
11.27792073 1
< 0.1%
11.22847028 1
< 0.1%
11.1524906 1
< 0.1%
11.02705909 1
< 0.1%
10.85301165 1
< 0.1%
10.54526295 1
< 0.1%
10.44684681 1
< 0.1%

V12
Real number (ℝ)

Distinct275654
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1691826 × 10-6
Minimum-18.683715
Maximum7.8483921
Zeros0
Zeros (%)0.0%
Negative121090
Negative (%)42.5%
Memory size2.2 MiB
2023-06-16T17:49:44.301633image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-18.683715
5-th percentile-1.9671624
Q1-0.40557769
median0.14002886
Q30.61823697
95-th percentile1.2430507
Maximum7.8483921
Range26.532107
Interquartile range (IQR)1.0238147

Descriptive statistics

Standard deviation0.99920031
Coefficient of variation (CV)-460634.48
Kurtosis20.24187
Mean-2.1691826 × 10-6
Median Absolute Deviation (MAD)0.50756241
Skewness-2.2783947
Sum-0.61780056
Variance0.99840125
MonotonicityNot monotonic
2023-06-16T17:49:44.480364image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.073459517 77
 
< 0.1%
0.350563573 77
 
< 0.1%
-0.174712053 62
 
< 0.1%
0.631027341 60
 
< 0.1%
0.183508121 53
 
< 0.1%
-0.330547628 48
 
< 0.1%
-0.322436924 45
 
< 0.1%
0.538411363 40
 
< 0.1%
-0.268318739 39
 
< 0.1%
0.073656515 36
 
< 0.1%
Other values (275644) 284271
99.8%
ValueCountFrequency (%)
-18.68371463 1
< 0.1%
-18.55369701 1
< 0.1%
-18.43113103 1
< 0.1%
-18.04759657 1
< 0.1%
-17.76914346 1
< 0.1%
-17.63160631 1
< 0.1%
-17.22866224 1
< 0.1%
-17.18291843 2
< 0.1%
-17.15040525 1
< 0.1%
-17.13130095 1
< 0.1%
ValueCountFrequency (%)
7.848392076 1
< 0.1%
4.846452409 1
< 0.1%
4.574082241 1
< 0.1%
4.472920584 1
< 0.1%
4.406338221 1
< 0.1%
4.403898555 1
< 0.1%
4.31807084 1
< 0.1%
4.317588992 1
< 0.1%
4.299511253 1
< 0.1%
4.293341845 1
< 0.1%

V13
Real number (ℝ)

Distinct275657
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.4809052 × 10-6
Minimum-5.7918812
Maximum7.126883
Zeros0
Zeros (%)0.0%
Negative144124
Negative (%)50.6%
Memory size2.2 MiB
2023-06-16T17:49:44.667660image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-5.7918812
5-th percentile-1.639729
Q1-0.64854482
median-0.013572616
Q30.66250415
95-th percentile1.607877
Maximum7.126883
Range12.918764
Interquartile range (IQR)1.311049

Descriptive statistics

Standard deviation0.99527422
Coefficient of variation (CV)-285923.97
Kurtosis0.19529311
Mean-3.4809052 × 10-6
Median Absolute Deviation (MAD)0.65532092
Skewness0.065240254
Sum-0.99138964
Variance0.99057077
MonotonicityNot monotonic
2023-06-16T17:49:44.892494image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.517759694 77
 
< 0.1%
-0.141238322 77
 
< 0.1%
-0.621127061 62
 
< 0.1%
0.03190727 60
 
< 0.1%
-0.272918545 53
 
< 0.1%
-0.531418652 48
 
< 0.1%
-0.143469155 45
 
< 0.1%
-0.378095385 40
 
< 0.1%
-0.127614196 39
 
< 0.1%
0.04128483 36
 
< 0.1%
Other values (275647) 284271
99.8%
ValueCountFrequency (%)
-5.791881206 1
< 0.1%
-4.008639792 1
< 0.1%
-3.961757536 1
< 0.1%
-3.888606286 1
< 0.1%
-3.881106249 1
< 0.1%
-3.848943149 1
< 0.1%
-3.844973612 1
< 0.1%
-3.835617838 1
< 0.1%
-3.816447623 1
< 0.1%
-3.808723988 1
< 0.1%
ValueCountFrequency (%)
7.126882959 1
< 0.1%
4.569008959 1
< 0.1%
4.469566192 1
< 0.1%
4.465413177 1
< 0.1%
4.369998379 1
< 0.1%
4.316156232 1
< 0.1%
4.262850926 1
< 0.1%
4.099351905 1
< 0.1%
4.044577086 1
< 0.1%
3.951390651 1
< 0.1%

V14
Real number (ℝ)

Distinct275653
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0925585 × 10-6
Minimum-19.214325
Maximum10.526766
Zeros0
Zeros (%)0.0%
Negative133763
Negative (%)47.0%
Memory size2.2 MiB
2023-06-16T17:49:45.119280image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-19.214325
5-th percentile-1.4393442
Q1-0.42556737
median0.050593794
Q30.4931497
95-th percentile1.3936512
Maximum10.526766
Range29.741092
Interquartile range (IQR)0.91871707

Descriptive statistics

Standard deviation0.95859411
Coefficient of variation (CV)-877384.71
Kurtosis23.879527
Mean-1.0925585 × 10-6
Median Absolute Deviation (MAD)0.45811319
Skewness-1.9951749
Sum-0.3111694
Variance0.91890266
MonotonicityNot monotonic
2023-06-16T17:49:45.306372image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.690971618 77
 
< 0.1%
0.406968934 77
 
< 0.1%
-0.703512784 62
 
< 0.1%
-0.031425381 60
 
< 0.1%
-0.597436665 53
 
< 0.1%
-2.181448825 48
 
< 0.1%
-1.154524296 45
 
< 0.1%
-3.04549518 40
 
< 0.1%
-0.868299961 39
 
< 0.1%
0.425500485 36
 
< 0.1%
Other values (275643) 284271
99.8%
ValueCountFrequency (%)
-19.21432549 1
< 0.1%
-18.82208674 1
< 0.1%
-18.49377336 1
< 0.1%
-18.3920915 1
< 0.1%
-18.04999769 1
< 0.1%
-17.72163835 1
< 0.1%
-17.62063435 1
< 0.1%
-17.47592128 1
< 0.1%
-17.23020216 1
< 0.1%
-16.33759594 1
< 0.1%
ValueCountFrequency (%)
10.52676605 1
< 0.1%
7.754598748 1
< 0.1%
7.692208544 1
< 0.1%
7.667725751 1
< 0.1%
7.518402781 1
< 0.1%
7.439565532 1
< 0.1%
7.421943853 1
< 0.1%
7.293225596 1
< 0.1%
7.234248879 1
< 0.1%
7.187926027 1
< 0.1%

V15
Real number (ℝ)

Distinct275653
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1549704 × 10-6
Minimum-4.4989447
Maximum8.8777416
Zeros0
Zeros (%)0.0%
Negative136234
Negative (%)47.8%
Memory size2.2 MiB
2023-06-16T17:49:45.522163image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-4.4989447
5-th percentile-1.5931996
Q1-0.58288322
median0.048074161
Q30.64882415
95-th percentile1.3731034
Maximum8.8777416
Range13.376686
Interquartile range (IQR)1.2317074

Descriptive statistics

Standard deviation0.91531854
Coefficient of variation (CV)177560.39
Kurtosis0.28475146
Mean5.1549704 × 10-6
Median Absolute Deviation (MAD)0.61550247
Skewness-0.30842175
Sum1.4681768
Variance0.83780803
MonotonicityNot monotonic
2023-06-16T17:49:45.749630image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.275257039 77
 
< 0.1%
1.124146923 77
 
< 0.1%
0.27195661 62
 
< 0.1%
1.446626976 60
 
< 0.1%
0.58389681 53
 
< 0.1%
0.388724083 48
 
< 0.1%
1.157633714 45
 
< 0.1%
1.468911143 40
 
< 0.1%
1.128538982 39
 
< 0.1%
1.24527653 36
 
< 0.1%
Other values (275643) 284271
99.8%
ValueCountFrequency (%)
-4.498944677 1
< 0.1%
-4.391307068 1
< 0.1%
-4.19932125 1
< 0.1%
-4.196619695 1
< 0.1%
-4.15253176 1
< 0.1%
-4.097947131 1
< 0.1%
-4.092344269 1
< 0.1%
-4.025373127 1
< 0.1%
-4.005558002 1
< 0.1%
-3.936008084 1
< 0.1%
ValueCountFrequency (%)
8.877741598 1
< 0.1%
5.825654319 1
< 0.1%
5.78451389 1
< 0.1%
5.720478632 1
< 0.1%
5.685899052 1
< 0.1%
5.667667171 1
< 0.1%
5.501116596 1
< 0.1%
5.126187082 1
< 0.1%
4.97005728 1
< 0.1%
4.858397949 1
< 0.1%

V16
Real number (ℝ)

Distinct275645
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6516411 × 10-6
Minimum-14.129855
Maximum17.315112
Zeros0
Zeros (%)0.0%
Negative132553
Negative (%)46.5%
Memory size2.2 MiB
2023-06-16T17:49:45.963104image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-14.129855
5-th percentile-1.4916624
Q1-0.46805749
median0.066407898
Q30.52329272
95-th percentile1.3252516
Maximum17.315112
Range31.444966
Interquartile range (IQR)0.99135021

Descriptive statistics

Standard deviation0.87625179
Coefficient of variation (CV)-530534.03
Kurtosis10.419143
Mean-1.6516411 × 10-6
Median Absolute Deviation (MAD)0.49260005
Skewness-1.1009614
Sum-0.47040059
Variance0.7678172
MonotonicityNot monotonic
2023-06-16T17:49:46.108131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.371962125 77
 
< 0.1%
0.342469754 77
 
< 0.1%
0.318688063 62
 
< 0.1%
-0.121820379 60
 
< 0.1%
0.178675836 53
 
< 0.1%
0.232071378 48
 
< 0.1%
0.878174918 45
 
< 0.1%
-0.029741514 40
 
< 0.1%
0.786506054 39
 
< 0.1%
0.640367513 36
 
< 0.1%
Other values (275635) 284271
99.8%
ValueCountFrequency (%)
-14.12985452 1
< 0.1%
-13.56327296 1
< 0.1%
-13.30388758 1
< 0.1%
-13.25683309 1
< 0.1%
-13.25154198 1
< 0.1%
-12.6752689 1
< 0.1%
-12.66169572 2
< 0.1%
-12.44856234 1
< 0.1%
-12.43227914 1
< 0.1%
-12.42796136 1
< 0.1%
ValueCountFrequency (%)
17.31511152 1
< 0.1%
8.28988956 1
< 0.1%
7.059131811 1
< 0.1%
6.442797901 1
< 0.1%
6.351853498 1
< 0.1%
6.098529451 1
< 0.1%
5.998262879 1
< 0.1%
5.720320216 1
< 0.1%
5.600122947 1
< 0.1%
5.562387814 1
< 0.1%

V17
Real number (ℝ)

Distinct275646
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3021495 × 10-7
Minimum-25.162799
Maximum9.2535263
Zeros0
Zeros (%)0.0%
Negative153635
Negative (%)53.9%
Memory size2.2 MiB
2023-06-16T17:49:46.267471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-25.162799
5-th percentile-0.98300304
Q1-0.48374689
median-0.065672716
Q30.39967413
95-th percentile1.2746063
Maximum9.2535263
Range34.416326
Interquartile range (IQR)0.88342103

Descriptive statistics

Standard deviation0.84933566
Coefficient of variation (CV)1163131
Kurtosis94.800035
Mean7.3021495 × 10-7
Median Absolute Deviation (MAD)0.43931039
Skewness-3.8449225
Sum0.20797106
Variance0.72137107
MonotonicityNot monotonic
2023-06-16T17:49:46.424067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.601956803 77
 
< 0.1%
-0.37465644 77
 
< 0.1%
0.549365129 62
 
< 0.1%
-0.651405237 60
 
< 0.1%
0.473898278 53
 
< 0.1%
2.125021883 48
 
< 0.1%
0.53691752 45
 
< 0.1%
3.664588481 40
 
< 0.1%
0.316435261 39
 
< 0.1%
-1.072084985 36
 
< 0.1%
Other values (275636) 284271
99.8%
ValueCountFrequency (%)
-25.16279937 1
< 0.1%
-24.01909855 1
< 0.1%
-23.81563583 1
< 0.1%
-23.24159715 1
< 0.1%
-22.88399858 1
< 0.1%
-22.66790541 1
< 0.1%
-22.60886819 1
< 0.1%
-22.54165173 1
< 0.1%
-21.90649322 1
< 0.1%
-21.71018765 1
< 0.1%
ValueCountFrequency (%)
9.25352625 1
< 0.1%
9.207058535 1
< 0.1%
8.538195139 1
< 0.1%
7.893392532 1
< 0.1%
7.766636363 1
< 0.1%
7.733456284 1
< 0.1%
7.611861523 1
< 0.1%
7.573522625 1
< 0.1%
7.454784638 1
< 0.1%
7.413594144 1
< 0.1%

V18
Real number (ℝ)

Distinct275655
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0554763 × 10-8
Minimum-9.4987459
Maximum5.0410692
Zeros0
Zeros (%)0.0%
Negative142942
Negative (%)50.2%
Memory size2.2 MiB
2023-06-16T17:49:46.604948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-9.4987459
5-th percentile-1.3580918
Q1-0.4988498
median-0.00363479
Q30.5008053
95-th percentile1.3943904
Maximum5.0410692
Range14.539815
Interquartile range (IQR)0.9996551

Descriptive statistics

Standard deviation0.83817474
Coefficient of variation (CV)9255998.4
Kurtosis2.5783605
Mean9.0554763 × 10-8
Median Absolute Deviation (MAD)0.49912301
Skewness-0.25988105
Sum0.025790721
Variance0.70253689
MonotonicityNot monotonic
2023-06-16T17:49:46.799095image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.438992432 77
 
< 0.1%
-0.052640146 77
 
< 0.1%
-0.257785858 62
 
< 0.1%
0.617970477 60
 
< 0.1%
-0.498849799 53
 
< 0.1%
0.405548674 48
 
< 0.1%
0.712873013 45
 
< 0.1%
-0.105189589 40
 
< 0.1%
0.587856253 39
 
< 0.1%
-0.0686981 36
 
< 0.1%
Other values (275645) 284271
99.8%
ValueCountFrequency (%)
-9.498745921 1
< 0.1%
-9.335193079 1
< 0.1%
-9.287832214 1
< 0.1%
-9.264608733 1
< 0.1%
-9.170557219 1
< 0.1%
-9.090892061 1
< 0.1%
-9.042845151 1
< 0.1%
-8.859451925 1
< 0.1%
-8.829819766 1
< 0.1%
-8.668815197 1
< 0.1%
ValueCountFrequency (%)
5.041069185 1
< 0.1%
4.712397566 1
< 0.1%
4.295648234 1
< 0.1%
4.243841213 1
< 0.1%
4.199591107 1
< 0.1%
4.115559919 1
< 0.1%
4.093439956 1
< 0.1%
4.079390035 1
< 0.1%
4.071328562 1
< 0.1%
4.054462468 1
< 0.1%

V19
Real number (ℝ)

Distinct275645
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4184755 × 10-6
Minimum-7.2135274
Maximum5.5919714
Zeros0
Zeros (%)0.0%
Negative141804
Negative (%)49.8%
Memory size2.2 MiB
2023-06-16T17:49:47.018778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-7.2135274
5-th percentile-1.356259
Q1-0.45629485
median0.0037365775
Q30.45894851
95-th percentile1.2861644
Maximum5.5919714
Range12.805499
Interquartile range (IQR)0.91524336

Descriptive statistics

Standard deviation0.81403942
Coefficient of variation (CV)573883.33
Kurtosis1.7249777
Mean1.4184755 × 10-6
Median Absolute Deviation (MAD)0.45770468
Skewness0.10918701
Sum0.40399316
Variance0.66266018
MonotonicityNot monotonic
2023-06-16T17:49:47.253056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.330590448 77
 
< 0.1%
-0.116090785 77
 
< 0.1%
0.016256128 62
 
< 0.1%
0.927600045 60
 
< 0.1%
-0.140098685 53
 
< 0.1%
-0.440929512 48
 
< 0.1%
0.006773555 45
 
< 0.1%
-2.097944321 40
 
< 0.1%
0.049350083 39
 
< 0.1%
0.271314885 36
 
< 0.1%
Other values (275635) 284271
99.8%
ValueCountFrequency (%)
-7.21352743 1
< 0.1%
-6.938297318 1
< 0.1%
-4.932733055 1
< 0.1%
-4.676092279 1
< 0.1%
-4.619034342 1
< 0.1%
-4.575940864 1
< 0.1%
-4.539839957 1
< 0.1%
-4.42194397 1
< 0.1%
-4.395282985 1
< 0.1%
-4.392420909 1
< 0.1%
ValueCountFrequency (%)
5.591971427 1
< 0.1%
5.572113327 1
< 0.1%
5.501747214 1
< 0.1%
5.22834179 1
< 0.1%
4.891062441 1
< 0.1%
4.851255137 1
< 0.1%
4.801122553 1
< 0.1%
4.727189814 1
< 0.1%
4.715141671 1
< 0.1%
4.703263246 1
< 0.1%

V20
Real number (ℝ)

Distinct275632
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8274417 × 10-7
Minimum-54.49772
Maximum39.420904
Zeros0
Zeros (%)0.0%
Negative169130
Negative (%)59.4%
Memory size2.2 MiB
2023-06-16T17:49:47.469037image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-54.49772
5-th percentile-0.55843392
Q1-0.21172118
median-0.062480907
Q30.13304735
95-th percentile0.83614003
Maximum39.420904
Range93.918625
Interquartile range (IQR)0.34476853

Descriptive statistics

Standard deviation0.77092382
Coefficient of variation (CV)873326.43
Kurtosis271.01688
Mean8.8274417 × 10-7
Median Absolute Deviation (MAD)0.16870186
Skewness-2.037161
Sum0.2514126
Variance0.59432353
MonotonicityNot monotonic
2023-06-16T17:49:47.650406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.180370119 77
 
< 0.1%
-0.132079724 77
 
< 0.1%
-0.187420788 62
 
< 0.1%
0.005756655 60
 
< 0.1%
-0.120714034 53
 
< 0.1%
-0.08698933 48
 
< 0.1%
0.053607119 45
 
< 0.1%
-0.167555416 40
 
< 0.1%
0.045217441 39
 
< 0.1%
0.156089011 36
 
< 0.1%
Other values (275622) 284271
99.8%
ValueCountFrequency (%)
-54.49772049 1
< 0.1%
-28.00963533 1
< 0.1%
-25.22234524 1
< 0.1%
-23.64689033 1
< 0.1%
-23.42017257 1
< 0.1%
-22.8385483 1
< 0.1%
-21.96489828 1
< 0.1%
-21.53382174 1
< 0.1%
-21.38712193 1
< 0.1%
-21.02827171 1
< 0.1%
ValueCountFrequency (%)
39.42090425 1
< 0.1%
38.11720913 1
< 0.1%
26.23739079 1
< 0.1%
24.13389419 1
< 0.1%
23.64909457 1
< 0.1%
23.64341694 1
< 0.1%
19.74645308 1
< 0.1%
17.8852382 1
< 0.1%
17.81950743 1
< 0.1%
17.2818589 1
< 0.1%

V21
Real number (ℝ)

Distinct275617
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.4277952 × 10-8
Minimum-34.830382
Maximum27.202839
Zeros0
Zeros (%)0.0%
Negative153197
Negative (%)53.8%
Memory size2.2 MiB
2023-06-16T17:49:47.832391image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-34.830382
5-th percentile-0.50467207
Q1-0.22839247
median-0.029447636
Q30.18637366
95-th percentile0.53786752
Maximum27.202839
Range62.033221
Interquartile range (IQR)0.41476613

Descriptive statistics

Standard deviation0.73452273
Coefficient of variation (CV)-11427289
Kurtosis207.28778
Mean-6.4277952 × 10-8
Median Absolute Deviation (MAD)0.20638164
Skewness3.5929978
Sum-0.018306875
Variance0.53952363
MonotonicityNot monotonic
2023-06-16T17:49:48.000778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.262580846 77
 
< 0.1%
0.269764951 77
 
< 0.1%
-0.361158037 62
 
< 0.1%
-0.064208281 60
 
< 0.1%
-0.352333801 53
 
< 0.1%
-0.067216661 48
 
< 0.1%
-0.207432404 45
 
< 0.1%
-0.040237593 40
 
< 0.1%
-0.191819983 39
 
< 0.1%
-0.313307445 36
 
< 0.1%
Other values (275607) 284271
99.8%
ValueCountFrequency (%)
-34.83038214 1
< 0.1%
-22.88934704 1
< 0.1%
-22.79760391 1
< 0.1%
-22.75753986 1
< 0.1%
-22.6656846 1
< 0.1%
-21.62011965 1
< 0.1%
-21.45373628 1
< 0.1%
-20.26205434 1
< 0.1%
-18.63291855 1
< 0.1%
-18.6030882 1
< 0.1%
ValueCountFrequency (%)
27.20283916 6
< 0.1%
22.61488937 1
 
< 0.1%
22.59954336 1
 
< 0.1%
22.58898947 1
 
< 0.1%
22.58067527 1
 
< 0.1%
22.57971423 1
 
< 0.1%
22.56568024 1
 
< 0.1%
21.89972377 1
 
< 0.1%
20.0637858 1
 
< 0.1%
19.33082993 1
 
< 0.1%

V22
Real number (ℝ)

Distinct275644
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7552531 × 10-7
Minimum-10.933144
Maximum10.50309
Zeros0
Zeros (%)0.0%
Negative141402
Negative (%)49.6%
Memory size2.2 MiB
2023-06-16T17:49:48.181326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-10.933144
5-th percentile-1.081891
Q1-0.54234931
median0.0067865075
Q30.52855286
95-th percentile1.1289868
Maximum10.50309
Range21.436234
Interquartile range (IQR)1.0709022

Descriptive statistics

Standard deviation0.72570047
Coefficient of variation (CV)743907.37
Kurtosis2.8329822
Mean9.7552531 × 10-7
Median Absolute Deviation (MAD)0.53649314
Skewness-0.21326167
Sum0.27783741
Variance0.52664118
MonotonicityNot monotonic
2023-06-16T17:49:48.333206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.844626647 77
 
< 0.1%
-0.816263763 77
 
< 0.1%
-0.984261949 62
 
< 0.1%
-0.080587077 60
 
< 0.1%
-0.996936775 53
 
< 0.1%
-0.072641599 48
 
< 0.1%
-0.692416684 45
 
< 0.1%
0.096171574 40
 
< 0.1%
-0.650117796 39
 
< 0.1%
0.250885695 36
 
< 0.1%
Other values (275634) 284271
99.8%
ValueCountFrequency (%)
-10.9331437 1
 
< 0.1%
-9.499422964 1
 
< 0.1%
-8.887017141 6
< 0.1%
-8.593641565 1
 
< 0.1%
-8.55580793 1
 
< 0.1%
-8.527144872 1
 
< 0.1%
-8.483441127 1
 
< 0.1%
-8.454599243 1
 
< 0.1%
-8.420245605 1
 
< 0.1%
-8.245481399 1
 
< 0.1%
ValueCountFrequency (%)
10.50309009 1
< 0.1%
8.361985192 1
< 0.1%
8.316275439 1
< 0.1%
8.272232984 1
< 0.1%
7.357255162 1
< 0.1%
7.248762607 1
< 0.1%
7.220157654 1
< 0.1%
7.057496403 1
< 0.1%
6.790452189 1
< 0.1%
6.090513506 1
< 0.1%

V23
Real number (ℝ)

Distinct275611
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.8789004 × 10-7
Minimum-44.807735
Maximum22.528412
Zeros0
Zeros (%)0.0%
Negative148401
Negative (%)52.1%
Memory size2.2 MiB
2023-06-16T17:49:48.486150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-44.807735
5-th percentile-0.47224624
Q1-0.16184632
median-0.011195728
Q30.14764206
95-th percentile0.48801394
Maximum22.528412
Range67.336147
Interquartile range (IQR)0.30948838

Descriptive statistics

Standard deviation0.62445923
Coefficient of variation (CV)-1609887.3
Kurtosis440.0901
Mean-3.8789004 × 10-7
Median Absolute Deviation (MAD)0.15449389
Skewness-5.8751478
Sum-0.11047419
Variance0.38994933
MonotonicityNot monotonic
2023-06-16T17:49:48.741206image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.140304302 77
 
< 0.1%
0.020674668 77
 
< 0.1%
0.354198094 62
 
< 0.1%
-0.072991079 60
 
< 0.1%
0.363484906 53
 
< 0.1%
-0.036584283 48
 
< 0.1%
-0.118597512 45
 
< 0.1%
-0.09254897 40
 
< 0.1%
-0.114069464 39
 
< 0.1%
0.103796606 36
 
< 0.1%
Other values (275601) 284271
99.8%
ValueCountFrequency (%)
-44.8077352 1
< 0.1%
-36.66600007 1
< 0.1%
-32.828995 1
< 0.1%
-30.26972001 1
< 0.1%
-27.53364329 1
< 0.1%
-27.21543637 1
< 0.1%
-26.75111866 1
< 0.1%
-26.42974136 1
< 0.1%
-25.35674425 1
< 0.1%
-23.22201631 1
< 0.1%
ValueCountFrequency (%)
22.52841169 1
< 0.1%
22.08354487 1
< 0.1%
20.8033441 1
< 0.1%
19.22816908 1
< 0.1%
19.00294182 1
< 0.1%
18.94673404 1
< 0.1%
18.36447227 1
< 0.1%
17.7684618 1
< 0.1%
17.75173056 1
< 0.1%
17.60663686 1
< 0.1%

V24
Real number (ℝ)

Distinct275645
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3499513 × 10-7
Minimum-2.8366269
Maximum4.5845491
Zeros0
Zeros (%)0.0%
Negative127732
Negative (%)44.8%
Memory size2.2 MiB
2023-06-16T17:49:48.927113image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-2.8366269
5-th percentile-1.1436618
Q1-0.35458277
median0.040976712
Q30.43952623
95-th percentile0.866357
Maximum4.5845491
Range7.4211761
Interquartile range (IQR)0.794109

Descriptive statistics

Standard deviation0.60564602
Coefficient of variation (CV)2577270.5
Kurtosis0.61888405
Mean2.3499513 × 10-7
Median Absolute Deviation (MAD)0.39713856
Skewness-0.55250139
Sum0.066928492
Variance0.3668071
MonotonicityNot monotonic
2023-06-16T17:49:49.106676image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.357827249 77
 
< 0.1%
0.726211884 77
 
< 0.1%
0.620709339 62
 
< 0.1%
1.01813597 60
 
< 0.1%
0.60482657 53
 
< 0.1%
0.529692768 48
 
< 0.1%
0.891479668 45
 
< 0.1%
-1.345663706 40
 
< 0.1%
0.9159356 39
 
< 0.1%
1.00995228 36
 
< 0.1%
Other values (275635) 284271
99.8%
ValueCountFrequency (%)
-2.836626919 1
< 0.1%
-2.824848903 1
< 0.1%
-2.822683592 1
< 0.1%
-2.822383969 1
< 0.1%
-2.814897636 1
< 0.1%
-2.807896962 1
< 0.1%
-2.790479323 1
< 0.1%
-2.78961381 1
< 0.1%
-2.776600389 1
< 0.1%
-2.775669771 1
< 0.1%
ValueCountFrequency (%)
4.584549137 1
< 0.1%
4.02286589 1
< 0.1%
4.016341817 1
< 0.1%
4.014444385 1
< 0.1%
3.998293678 1
< 0.1%
3.99064595 1
< 0.1%
3.979636646 1
< 0.1%
3.962197343 1
< 0.1%
3.957012821 1
< 0.1%
3.951679291 1
< 0.1%

V25
Real number (ℝ)

Distinct275640
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5131864 × 10-7
Minimum-10.295397
Maximum7.5195887
Zeros0
Zeros (%)0.0%
Negative139302
Negative (%)48.9%
Memory size2.2 MiB
2023-06-16T17:49:49.296289image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-10.295397
5-th percentile-0.82502558
Q1-0.31714408
median0.016595743
Q30.35071549
95-th percentile0.76069662
Maximum7.5195887
Range17.814986
Interquartile range (IQR)0.66785957

Descriptive statistics

Standard deviation0.52127721
Coefficient of variation (CV)1155009.3
Kurtosis4.2904362
Mean4.5131864 × 10-7
Median Absolute Deviation (MAD)0.33396182
Skewness-0.41579573
Sum0.12853916
Variance0.27172993
MonotonicityNot monotonic
2023-06-16T17:49:49.473365image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.366624307 77
 
< 0.1%
0.186422946 77
 
< 0.1%
-0.297137876 62
 
< 0.1%
0.663574772 60
 
< 0.1%
-0.264559586 53
 
< 0.1%
0.414685142 48
 
< 0.1%
0.730240364 45
 
< 0.1%
0.510304957 40
 
< 0.1%
0.73007304 39
 
< 0.1%
0.23373018 36
 
< 0.1%
Other values (275630) 284271
99.8%
ValueCountFrequency (%)
-10.29539707 1
< 0.1%
-8.69662677 1
< 0.1%
-7.495741104 1
< 0.1%
-7.081325346 1
< 0.1%
-7.025783182 1
< 0.1%
-6.712623728 1
< 0.1%
-6.429333989 1
< 0.1%
-6.035054268 1
< 0.1%
-5.7852551 1
< 0.1%
-5.785209207 1
< 0.1%
ValueCountFrequency (%)
7.519588679 1
< 0.1%
6.070850384 1
< 0.1%
5.852483571 1
< 0.1%
5.826159035 1
< 0.1%
5.541597595 1
< 0.1%
5.525092704 1
< 0.1%
5.521139565 1
< 0.1%
5.473885357 1
< 0.1%
5.376594958 1
< 0.1%
4.881207473 1
< 0.1%

V26
Real number (ℝ)

Distinct275647
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.6400875 × 10-7
Minimum-2.6045506
Maximum3.5173456
Zeros0
Zeros (%)0.0%
Negative151721
Negative (%)53.3%
Memory size2.2 MiB
2023-06-16T17:49:49.667751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-2.6045506
5-th percentile-0.69734787
Q1-0.32698137
median-0.052141678
Q30.24094972
95-th percentile0.92091543
Maximum3.5173456
Range6.1218962
Interquartile range (IQR)0.56793109

Descriptive statistics

Standard deviation0.4822263
Coefficient of variation (CV)-726234.85
Kurtosis0.91901856
Mean-6.6400875 × 10-7
Median Absolute Deviation (MAD)0.28044523
Skewness0.57669708
Sum-0.189115
Variance0.2325422
MonotonicityNot monotonic
2023-06-16T17:49:49.840307image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.096544471 77
 
< 0.1%
-0.398827515 77
 
< 0.1%
0.166735634 62
 
< 0.1%
-0.671322844 60
 
< 0.1%
0.219670647 53
 
< 0.1%
0.735869652 48
 
< 0.1%
0.384013446 45
 
< 0.1%
-0.182673523 40
 
< 0.1%
0.383879418 39
 
< 0.1%
0.110373549 36
 
< 0.1%
Other values (275637) 284271
99.8%
ValueCountFrequency (%)
-2.604550553 1
< 0.1%
-2.534329721 1
< 0.1%
-2.24162029 1
< 0.1%
-2.068560869 1
< 0.1%
-1.855355338 1
< 0.1%
-1.778061476 1
< 0.1%
-1.77357484 1
< 0.1%
-1.732917021 1
< 0.1%
-1.73200827 1
< 0.1%
-1.726927874 1
< 0.1%
ValueCountFrequency (%)
3.517345612 1
< 0.1%
3.463245654 1
< 0.1%
3.415636243 1
< 0.1%
3.220178375 1
< 0.1%
3.155327473 1
< 0.1%
3.122747439 1
< 0.1%
3.119294529 1
< 0.1%
3.118588477 1
< 0.1%
3.116200102 1
< 0.1%
3.087444274 1
< 0.1%

V27
Real number (ℝ)

Distinct275597
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6894513 × 10-7
Minimum-22.565679
Maximum31.612198
Zeros0
Zeros (%)0.0%
Negative141004
Negative (%)49.5%
Memory size2.2 MiB
2023-06-16T17:49:50.031080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-22.565679
5-th percentile-0.41524553
Q1-0.070839451
median0.0013422435
Q30.091046495
95-th percentile0.38774605
Maximum31.612198
Range54.177877
Interquartile range (IQR)0.16188595

Descriptive statistics

Standard deviation0.40363186
Coefficient of variation (CV)860723
Kurtosis244.98993
Mean4.6894513 × 10-7
Median Absolute Deviation (MAD)0.078261709
Skewness-1.1702137
Sum0.13355933
Variance0.16291868
MonotonicityNot monotonic
2023-06-16T17:49:50.190202image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.035866315 77
 
< 0.1%
0.027735122 77
 
< 0.1%
-0.06829901 62
 
< 0.1%
0.096800945 60
 
< 0.1%
-0.039209452 53
 
< 0.1%
-0.058232768 48
 
< 0.1%
-0.028465272 45
 
< 0.1%
0.107058302 40
 
< 0.1%
-0.031902304 39
 
< 0.1%
0.241305213 36
 
< 0.1%
Other values (275587) 284271
99.8%
ValueCountFrequency (%)
-22.56567932 1
< 0.1%
-9.895244048 1
< 0.1%
-9.845807693 1
< 0.1%
-9.793567905 1
< 0.1%
-9.544855375 1
< 0.1%
-9.543518336 1
< 0.1%
-9.390979796 1
< 0.1%
-8.878665148 2
< 0.1%
-8.839765802 2
< 0.1%
-8.703067823 1
< 0.1%
ValueCountFrequency (%)
31.61219811 1
< 0.1%
12.15240111 1
< 0.1%
11.13573984 1
< 0.1%
10.50788435 1
< 0.1%
10.13559735 1
< 0.1%
9.879903026 1
< 0.1%
9.200882567 1
< 0.1%
8.932638749 1
< 0.1%
8.70897234 1
< 0.1%
8.254375597 1
< 0.1%

V28
Real number (ℝ)

Distinct275558
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.3923679 × 10-8
Minimum-15.430084
Maximum33.847808
Zeros0
Zeros (%)0.0%
Negative125889
Negative (%)44.2%
Memory size2.2 MiB
2023-06-16T17:49:50.337379image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-15.430084
5-th percentile-0.31784311
Q1-0.052959631
median0.011243813
Q30.078279484
95-th percentile0.25608927
Maximum33.847808
Range49.277892
Interquartile range (IQR)0.13123912

Descriptive statistics

Standard deviation0.33008269
Coefficient of variation (CV)-4465182.1
Kurtosis933.40077
Mean-7.3923679 × 10-8
Median Absolute Deviation (MAD)0.06516522
Skewness11.192111
Sum-0.021054055
Variance0.10895458
MonotonicityNot monotonic
2023-06-16T17:49:50.504643image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.060282151 77
 
< 0.1%
0.018494573 77
 
< 0.1%
-0.029584703 62
 
< 0.1%
0.028696878 60
 
< 0.1%
-0.042786955 53
 
< 0.1%
-0.02665762 48
 
< 0.1%
0.036123309 45
 
< 0.1%
0.071818003 40
 
< 0.1%
0.029849341 39
 
< 0.1%
-0.020358638 36
 
< 0.1%
Other values (275548) 284271
99.8%
ValueCountFrequency (%)
-15.43008391 1
< 0.1%
-11.71089564 1
< 0.1%
-9.617915452 1
< 0.1%
-8.6565699 1
< 0.1%
-8.478685643 1
< 0.1%
-8.464609243 1
< 0.1%
-8.424041001 1
< 0.1%
-8.412266628 1
< 0.1%
-8.364853332 1
< 0.1%
-8.33812262 1
< 0.1%
ValueCountFrequency (%)
33.84780782 1
< 0.1%
22.62007222 1
< 0.1%
16.12960914 1
< 0.1%
15.94215098 1
< 0.1%
15.87047405 1
< 0.1%
15.86672079 1
< 0.1%
15.7696356 1
< 0.1%
15.7268066 1
< 0.1%
15.64913396 1
< 0.1%
15.63268866 1
< 0.1%

Amount
Real number (ℝ)

Distinct32767
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.349834
Minimum0
Maximum25691.16
Zeros1825
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size2.2 MiB
2023-06-16T17:49:50.690144image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.92
Q15.6
median22
Q377.17
95-th percentile365
Maximum25691.16
Range25691.16
Interquartile range (IQR)71.57

Descriptive statistics

Standard deviation250.1197
Coefficient of variation (CV)2.8310149
Kurtosis845.09521
Mean88.349834
Median Absolute Deviation (MAD)20.22
Skewness16.977746
Sum25162740
Variance62559.863
MonotonicityNot monotonic
2023-06-16T17:49:50.867415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13688
 
4.8%
1.98 6044
 
2.1%
0.89 4872
 
1.7%
9.99 4747
 
1.7%
15 3280
 
1.2%
0.76 2998
 
1.1%
10 2950
 
1.0%
1.29 2892
 
1.0%
1.79 2623
 
0.9%
0.99 2304
 
0.8%
Other values (32757) 238410
83.7%
ValueCountFrequency (%)
0 1825
0.6%
0.01 718
 
0.3%
0.02 85
 
< 0.1%
0.03 3
 
< 0.1%
0.04 11
 
< 0.1%
0.05 44
 
< 0.1%
0.06 3
 
< 0.1%
0.07 11
 
< 0.1%
0.08 10
 
< 0.1%
0.09 2
 
< 0.1%
ValueCountFrequency (%)
25691.16 1
< 0.1%
19656.53 1
< 0.1%
18910 1
< 0.1%
12910.93 1
< 0.1%
11898.09 1
< 0.1%
11789.84 1
< 0.1%
10199.44 1
< 0.1%
10000 1
< 0.1%
8790.26 1
< 0.1%
8787 1
< 0.1%

Class
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.2 MiB
0
284316 
1
 
492

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters284808
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284316
99.8%
1 492
 
0.2%

Length

2023-06-16T17:49:51.034287image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-06-16T17:49:51.195495image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
ValueCountFrequency (%)
0 284316
99.8%
1 492
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 284316
99.8%
1 492
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 284808
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 284316
99.8%
1 492
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 284808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 284316
99.8%
1 492
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 284808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 284316
99.8%
1 492
 
0.2%

Interactions

2023-06-16T17:49:27.751465image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:09.070859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:18.619517image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:27.449406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:36.505487image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:45.569130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:55.019318image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:04.235568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:13.717858image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:22.304632image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:32.535403image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:41.322191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:50.344208image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:59.358188image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:09.142495image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:18.214543image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:27.468820image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:37.392564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:46.318177image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:56.309725image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:05.284450image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:13.989119image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:23.525659image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:32.191962image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:40.617284image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:49.893914image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:59.817760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:09.129868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:19.117179image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:28.048940image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:09.413498image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:18.918329image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:27.775542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:36.828613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:45.921208image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:55.405067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:04.543415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:14.024464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:22.558665image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:32.811625image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:41.630747image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:50.629414image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:59.681274image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:09.500957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:18.511008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:27.877025image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:37.704072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:46.676367image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:56.592958image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:05.629980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:14.200318image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:23.826437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:32.485926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:40.908304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:50.162499image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:00.100898image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:09.443523image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:19.413003image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:28.301894image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:09.747354image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:19.211586image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:28.065533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:37.107964image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:46.167448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:55.714598image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:04.856859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:14.258099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:22.885353image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:33.102110image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:41.956282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:50.921390image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:00.002459image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:09.881533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:18.887677image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:28.131401image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:38.031035image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:47.059764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:56.956983image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:05.921079image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:14.485670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:24.148599image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:32.769213image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:41.221700image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:50.565688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:00.363734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:09.722012image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:19.680432image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:28.586552image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:10.049053image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:19.536696image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:28.340500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:37.550040image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:46.400949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:56.110722image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:05.184403image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:14.549587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:23.176386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:33.393003image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:42.224902image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:51.211483image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:00.250325image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:10.130695image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:19.180663image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:28.384471image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:38.270477image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:47.463732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:57.243107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:06.171148image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:14.887631image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:24.419230image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:33.050433image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:41.523453image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:50.920956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:00.686467image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:10.031530image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:20.008995image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:28.940890image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:10.292408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:19.853985image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:28.646144image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:37.898315image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:46.718248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:56.353106image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:05.516337image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:14.818217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:23.496625image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:33.795986image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:42.477988image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:51.530031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:01.256440image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:10.388912image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:19.498189image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:28.709554image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:38.543983image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:47.819967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:57.560462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:06.423903image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:15.148521image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:24.730936image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:33.338536image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:41.870865image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:51.293374image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:01.063060image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:10.265543image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:20.243250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:29.226240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:10.812403image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:20.150609image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:29.021847image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:38.170855image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:47.077424image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:56.631454image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:05.898823image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:15.246480image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:23.804220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:34.177512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:42.763192image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:51.906745image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:01.576599image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:10.726701image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:19.883222image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:29.043410image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:38.903214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:48.113238image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:57.916650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:06.726555image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:15.458021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:25.034614image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:33.751513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:42.129734image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:51.629235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:01.428703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:10.547408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:20.582671image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:29.529456image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:11.067435image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:20.386153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:29.273500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:38.411255image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:47.392505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:56.968757image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:06.129533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:15.556005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:24.065290image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:34.426223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:43.086759image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:52.148093image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:01.896823image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:11.011909image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:20.141153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:29.369504image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:39.186507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:48.378957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:58.162414image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:07.115957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:15.788237image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:25.361923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:34.012417image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:42.379877image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:51.984932image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:01.776873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:10.870730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:20.863308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:29.786138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:11.434379image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:20.680083image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:29.583143image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:38.682822image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:47.723423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:57.310396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:06.453025image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:15.852272image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:24.471807image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:34.893715image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:43.501392image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:52.388511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:02.164442image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:11.335972image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:20.368904image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:29.703888image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:39.485793image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:48.695518image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:58.462901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:07.405995image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:16.061788image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:25.641263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:34.238240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:42.672888image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:52.273081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:02.105557image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:12.492568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:21.156012image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:30.111547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:11.765921image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:21.029523image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:29.918943image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:39.018087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:48.031978image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:57.583909image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:06.831642image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:16.152037image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:24.804688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:35.233454image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:43.811902image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:52.718565image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:02.524580image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:11.623123image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:20.710542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:30.032825image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:39.813838image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:49.060628image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:58.724750image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:07.741573image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:16.310963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:25.955658image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:34.496162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:43.036532image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:52.623007image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:02.393665image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:12.766551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:21.469021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:30.359408image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:12.155274image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:21.548244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:30.157447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:39.344331image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:48.285070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:57.953773image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:07.116850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:16.393423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:25.106417image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:35.532222image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:44.085400image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:53.117637image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:02.826307image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:12.024359image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:21.003551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:30.263503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:40.155447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:49.379774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:59.081944image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:08.024820image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:16.610783image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:26.188291image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:34.790276image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:43.440507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:52.950220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:02.743967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:13.039283image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:21.799215image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:30.610927image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:12.437545image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:21.910314image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:30.433856image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:39.645107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:48.531539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:58.174640image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:07.426350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:16.699056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:25.453313image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:35.836879image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:44.339436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:53.420424image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:03.105683image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:12.266779image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:21.430634image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:30.600318image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:40.455755image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:49.789846image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:59.483241image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:08.245797image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:16.932930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:26.442323image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:35.060215image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:43.754850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:53.298170image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:03.081328image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:13.343994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:22.060346image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:30.961409image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:12.806448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:22.162409image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:30.736553image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:39.967268image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:49.190490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:58.480243image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:07.719597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:16.995959image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:25.824135image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:36.115249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:44.616256image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:53.693377image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:03.414722image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:12.534451image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:21.796608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:30.998379image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:40.778942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:50.319145image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:59.829785image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:08.619530image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:17.285801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:26.823457image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:35.356087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:44.053706image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:53.689512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:03.431766image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:13.653933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:22.326310image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:31.273067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:13.098831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:22.396036image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:31.076393image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:40.199924image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:49.549068image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:58.799491image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:08.072912image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:17.252902image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:26.090832image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:36.351260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:44.915075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:54.034507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:03.786483image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:12.881919image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:22.112933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:31.320559image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:41.082579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:50.760046image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:00.101016image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:08.926952image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:17.576819image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:27.099831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:35.667539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:44.291213image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:54.026117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:03.788265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:13.972244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:22.576157image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:31.612761image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:13.425905image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:22.701171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:31.356725image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:40.580822image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:49.950700image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:59.109033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:08.787359image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:17.553704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:26.364343image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:36.627690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:45.189563image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:54.276010image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:04.082462image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:13.192901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:22.362112image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:31.625209image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:41.400868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:51.129909image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:00.364803image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:09.228321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:17.928229image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:27.464832image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:35.968301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:44.588804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:54.312271image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:04.069570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:14.246140image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:22.892384image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:31.908054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:13.705227image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:23.043774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:31.632174image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:40.898136image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:50.193057image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:59.540587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:09.114468image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:17.876816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:26.654390image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:36.963490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:45.490317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:54.593673image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:04.337436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:13.546242image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:22.622677image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:31.959106image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:41.680446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:51.480486image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:00.696696image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:09.558453image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:18.176389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:27.756784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:36.205211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:44.937235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:54.607008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:04.331445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:14.622516image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:23.169784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:32.164725image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:14.058570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:23.340651image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:32.019556image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:41.259236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:50.478252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:59.918230image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:09.453181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:18.189265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:27.036099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:37.370338image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:45.837015image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:54.922655image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:04.666004image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:13.903438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:22.971138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:32.221381image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:42.022089image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:52.027582image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:01.039211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:09.877742image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:19.430621image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:28.056117image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:36.455348image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:45.256602image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:54.934038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:04.594185image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:14.925920image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:23.544745image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:32.421680image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:14.309867image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:23.603438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:32.261648image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:41.630103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:50.842309image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:00.162570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:09.807470image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:18.488089image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:27.297903image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:37.624735image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:46.107561image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:55.210764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:05.021882image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:14.157490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:23.300121image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:32.469590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:42.271260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:52.300096image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:01.350662image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:10.129784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:19.746488image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:28.297491image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:36.814465image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:45.548708image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:55.321054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:05.016297image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:15.223878image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:23.941845image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:32.673774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:14.675173image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:23.943138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:32.545901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:42.008891image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:51.135249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:00.489600image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:10.075131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:18.814444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:27.716441image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:37.905036image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:46.373252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:55.566702image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:05.306133image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:14.458072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:23.616456image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:32.780111image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:42.557429image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:52.592114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:01.633894image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:10.425936image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:20.019831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:28.612855image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:37.143450image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:45.909499image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:55.761416image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:05.374779image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:15.554079image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:24.209512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:32.956249image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:15.047959image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:24.183130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:32.872893image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:42.283386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:51.513059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:00.825256image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:10.392618image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:19.122992image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:28.070820image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:38.169768image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:46.781072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:55.954030image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:05.670154image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:14.763610image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:23.967256image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:33.127554image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:42.919001image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:53.033837image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:01.956067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:10.706225image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:20.259306image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:28.953551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:37.427664image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:46.258654image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:56.077780image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:05.684257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:15.887147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:24.467665image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:33.349752image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:15.458733image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:24.442062image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:33.166853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:42.532546image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:51.862505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:01.131820image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:10.668075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:19.421076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:28.341413image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:38.399490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:47.081878image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:56.237267image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:06.017630image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:15.151049image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:24.236872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:33.467259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:43.449550image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:53.342388image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:02.302119image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:11.026448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:20.533765image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:29.271801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:37.716794image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:46.570816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:56.326733image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:05.995724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:16.144143image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:24.788980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:33.647184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:15.715664image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:24.720445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:33.715589image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:42.857643image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:52.120415image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:01.430635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:10.988294image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:19.716987image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:28.682088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:38.652566image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:47.427767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:56.501090image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:06.232953image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:15.465492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:24.591824image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:33.857072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:43.733814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:53.614930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:02.556150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:11.307743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:20.801375image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:29.564368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:38.004949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:46.930263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:56.594579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:06.241648image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:16.363602image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:25.061513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:33.907094image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:16.066746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:25.114613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:34.122432image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:43.202611image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:52.409508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:01.731388image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:11.296844image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:20.014234image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:29.166464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:38.935322image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:47.713915image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:56.822232image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:06.602791image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:15.748713image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:24.942227image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:34.135435image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:44.048193image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:53.926182image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:02.885115image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:11.606562image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:21.146945image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:29.904112image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:38.238574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:47.278782image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:56.965954image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:06.525873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:16.637430image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:25.366897image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:34.167087image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:16.315943image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:25.443101image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:34.395473image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:43.522738image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:52.723833image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:02.063291image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:11.535319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:20.269246image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:29.588584image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:39.230740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:48.006891image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:57.127858image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:06.926880image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:16.056970image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:25.232294image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:34.379730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:44.285650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:54.179255image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:03.159587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:11.936649image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:21.476718image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:30.159082image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:38.495507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:47.569923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:57.376104image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:06.825743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:16.972980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:25.657967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:34.425852image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:16.594275image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:25.729317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:34.643673image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:43.883836image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:53.086865image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:02.382644image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:11.938143image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:20.505771image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:29.934099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:39.558331image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:48.247335image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:57.444191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:07.241270image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:16.302251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:25.615868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:34.678119image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:44.561212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:54.455662image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:03.473696image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:12.174163image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:21.790082image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:30.452106image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:38.807900image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:47.935339image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:57.693611image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:07.162472image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:17.312345image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:25.948424image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:34.692730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:16.969991image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:26.037827image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:35.014974image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:44.156398image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:53.441871image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:02.766140image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:12.195058image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:20.820168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:30.208648image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:39.866887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:48.635489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:57.804276image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:07.541059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:16.580616image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:25.960386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:35.074592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:44.894061image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:54.811240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:03.814282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:12.447656image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:22.106037image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:30.814056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:39.114141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:48.198231image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:58.064179image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:07.540145image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:17.677345image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:26.205438image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:35.055637image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:17.260166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:26.284110image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:35.361481image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:44.406973image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:53.819489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:03.150602image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:12.467594image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:21.086866image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:30.708670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:40.120876image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:48.995579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:58.103523image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:07.909304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:16.891153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:26.228075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:35.430829image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:45.184152image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:55.107100image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:04.098477image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:12.805497image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:22.375651image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:31.121591image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:39.414936image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:48.479615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:58.356722image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:07.900487image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:18.012301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:26.459423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:35.320994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:17.556060image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:26.562436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:35.636935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:44.667821image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:54.083464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:03.403699image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:12.807287image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:21.460747image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:31.188128image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:40.478318image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:49.329441image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:58.347816image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:08.162401image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:17.261702image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:26.476260image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:36.433815image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:45.473209image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:55.410366image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:04.339904image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:13.195881image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:22.641817image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:31.406775image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:39.686622image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:48.800276image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:58.721470image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:08.191820image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:18.252675image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:26.820724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:35.614406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:17.941502image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:26.910188image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:35.956191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:44.955934image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:54.372057image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:03.688502image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:13.107581image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:21.721595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:31.488399image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:40.776171image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:49.711551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:58.657382image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:08.430034image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:17.576033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:26.823533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:36.704412image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:45.807213image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:55.666370image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:04.642348image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:13.491740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:22.929963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:31.656942image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:40.045729image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:49.206939image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:59.046968image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:08.501353image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:18.490005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:27.154015image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:35.885963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:18.187777image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:27.170081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:36.177145image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:45.252800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:45:54.660157image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:04.004830image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:13.462898image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:22.041820image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:31.785302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:41.024375image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:50.063887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:46:58.957125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:08.826211image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:17.896286image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:27.133016image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:37.039275image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:46.071921image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:47:56.044986image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:04.964210image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:13.761308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:23.209326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:31.972287image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:40.272517image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:49.561716image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:48:59.443199image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:08.812831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:18.813489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-06-16T17:49:27.420570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2023-06-16T17:49:51.389150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
V1V2V3V4V5V6V7V8V9V10V11V12V13V14V15V16V17V18V19V20V21V22V23V24V25V26V27V28AmountClass
V11.000-0.384-0.4120.101-0.107-0.087-0.228-0.2360.1390.2320.0140.0030.048-0.0240.0300.038-0.058-0.0440.031-0.210-0.062-0.0290.145-0.0000.0490.006-0.105-0.208-0.0870.146
V2-0.3841.0000.0740.1550.343-0.1100.4260.007-0.078-0.212-0.0130.0530.0290.0880.0380.068-0.0020.0110.0020.041-0.098-0.056-0.0950.013-0.0860.0340.1290.138-0.5020.258
V3-0.4120.0741.0000.061-0.2240.171-0.0750.164-0.031-0.0710.056-0.0520.007-0.1310.051-0.047-0.035-0.045-0.0150.108-0.0400.004-0.140-0.0010.032-0.0170.1410.180-0.0000.354
V40.1010.1550.0611.0000.0210.0750.060-0.0100.1050.026-0.0130.148-0.0250.0990.053-0.0410.0490.021-0.018-0.0100.039-0.0050.010-0.0090.061-0.064-0.0340.005-0.0220.373
V5-0.1070.343-0.2240.0211.000-0.0080.432-0.057-0.057-0.1550.011-0.0490.0200.035-0.041-0.008-0.146-0.0160.0120.057-0.040-0.011-0.108-0.023-0.0160.0300.013-0.028-0.3140.192
V6-0.087-0.1100.1710.075-0.0081.000-0.2930.4440.0290.0630.0600.037-0.004-0.069-0.046-0.020-0.0270.0520.0320.0530.0350.040-0.050-0.135-0.011-0.0240.0740.0200.2050.000
V7-0.2280.426-0.0750.0600.432-0.2931.000-0.389-0.100-0.2080.004-0.044-0.0160.058-0.051-0.120-0.147-0.0710.0010.161-0.022-0.024-0.186-0.013-0.0460.017-0.0940.056-0.0300.305
V8-0.2360.0070.164-0.010-0.0570.444-0.3891.000-0.003-0.1210.0530.106-0.1450.041-0.0170.0900.0750.067-0.0330.0060.0770.0200.075-0.025-0.074-0.0080.1900.0900.0040.196
V90.139-0.078-0.0310.105-0.0570.029-0.100-0.0031.000-0.291-0.0310.103-0.048-0.031-0.004-0.032-0.069-0.0150.003-0.015-0.0660.0020.074-0.002-0.0230.027-0.002-0.104-0.0770.388
V100.232-0.212-0.0710.026-0.1550.063-0.208-0.121-0.2911.0000.034-0.1640.0000.005-0.027-0.055-0.148-0.0540.040-0.087-0.0470.0420.077-0.008-0.017-0.027-0.020-0.1310.0550.551
V110.014-0.0130.056-0.0130.0110.0600.0040.053-0.0310.0341.0000.197-0.0350.151-0.0360.0690.0740.0690.0100.042-0.0010.0010.031-0.005-0.005-0.006-0.026-0.028-0.0440.614
V120.0030.053-0.0520.148-0.0490.037-0.0440.1060.103-0.1640.1971.0000.187-0.053-0.069-0.118-0.205-0.0660.0200.0140.031-0.0140.081-0.0020.0030.0120.029-0.008-0.0390.662
V130.0480.0290.007-0.0250.020-0.004-0.016-0.145-0.0480.000-0.0350.1871.000-0.0930.0140.000-0.017-0.010-0.0060.101-0.0500.0070.0020.0050.003-0.0040.004-0.007-0.0060.008
V14-0.0240.088-0.1310.0990.035-0.0690.0580.041-0.0310.0050.151-0.053-0.0931.0000.019-0.127-0.165-0.0270.021-0.1060.084-0.0090.016-0.0220.036-0.005-0.091-0.018-0.0050.665
V150.0300.0380.0510.053-0.041-0.046-0.051-0.017-0.004-0.027-0.036-0.0690.0140.0191.0000.014-0.0240.013-0.0550.0950.0320.0020.0320.0230.011-0.0160.0290.039-0.0720.007
V160.0380.068-0.047-0.041-0.008-0.020-0.1200.090-0.032-0.0550.069-0.1180.000-0.1270.0141.000-0.2370.0230.0170.1770.092-0.0450.045-0.030-0.0150.042-0.046-0.010-0.1060.585
V17-0.058-0.002-0.0350.049-0.146-0.027-0.1470.075-0.069-0.1480.074-0.205-0.017-0.165-0.024-0.2371.000-0.1580.045-0.017-0.0090.0130.0370.0520.004-0.0090.0460.0650.0540.691
V18-0.0440.011-0.0450.021-0.0160.052-0.0710.067-0.015-0.0540.069-0.066-0.010-0.0270.0130.023-0.1581.000-0.004-0.1060.0260.057-0.109-0.048-0.006-0.0270.0210.0230.0480.507
V190.0310.002-0.015-0.0180.0120.0320.001-0.0330.0030.0400.0100.020-0.0060.021-0.0550.0170.045-0.0041.0000.233-0.006-0.012-0.078-0.0560.004-0.016-0.019-0.041-0.0090.077
V20-0.2100.0410.108-0.0100.0570.0530.1610.006-0.015-0.0870.0420.0140.101-0.1060.0950.177-0.017-0.1060.2331.0000.1150.034-0.1950.0410.0450.0470.1040.2750.2010.017
V21-0.062-0.098-0.0400.039-0.0400.035-0.0220.077-0.066-0.047-0.0010.031-0.0500.0840.0320.092-0.0090.026-0.0060.1151.0000.677-0.2500.0320.037-0.040-0.0270.0670.1940.094
V22-0.029-0.0560.004-0.005-0.0110.040-0.0240.0200.0020.0420.001-0.0140.007-0.0090.002-0.0450.0130.057-0.0120.0340.6771.000-0.2390.0150.029-0.0400.073-0.0370.0800.106
V230.145-0.095-0.1400.010-0.108-0.050-0.1860.0750.0740.0770.0310.0810.0020.0160.0320.0450.037-0.109-0.078-0.195-0.250-0.2391.0000.097-0.426-0.0020.049-0.069-0.0570.018
V24-0.0000.013-0.001-0.009-0.023-0.135-0.013-0.025-0.002-0.008-0.005-0.0020.005-0.0220.023-0.0300.052-0.048-0.0560.0410.0320.0150.0971.0000.0010.005-0.0360.047-0.0130.009
V250.049-0.0860.0320.061-0.016-0.011-0.046-0.074-0.023-0.017-0.0050.0030.0030.0360.011-0.0150.004-0.0060.0040.0450.0370.029-0.4260.0011.000-0.053-0.092-0.0520.0230.022
V260.0060.034-0.017-0.0640.030-0.0240.017-0.0080.027-0.027-0.0060.012-0.004-0.005-0.0160.042-0.009-0.027-0.0160.047-0.040-0.040-0.0020.005-0.0531.000-0.163-0.022-0.0670.002
V27-0.1050.1290.141-0.0340.0130.074-0.0940.190-0.002-0.020-0.0260.0290.004-0.0910.029-0.0460.0460.021-0.0190.104-0.0270.0730.049-0.036-0.092-0.1631.0000.458-0.1270.041
V28-0.2080.1380.1800.005-0.0280.0200.0560.090-0.104-0.131-0.028-0.008-0.007-0.0180.039-0.0100.0650.023-0.0410.2750.067-0.037-0.0690.047-0.052-0.0220.4581.0000.0100.031
Amount-0.087-0.502-0.000-0.022-0.3140.205-0.0300.004-0.0770.055-0.044-0.039-0.006-0.005-0.072-0.1060.0540.048-0.0090.2010.1940.080-0.057-0.0130.023-0.067-0.1270.0101.0000.000
Class0.1460.2580.3540.3730.1920.0000.3050.1960.3880.5510.6140.6620.0080.6650.0070.5850.6910.5070.0770.0170.0940.1060.0180.0090.0220.0020.0410.0310.0001.000

Missing values

2023-06-16T17:49:36.175099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-06-16T17:49:37.533599image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

V1V2V3V4V5V6V7V8V9V10V11V12V13V14V15V16V17V18V19V20V21V22V23V24V25V26V27V28AmountClass
0NaN-0.0727812.5363471.378155-0.3383210.4623880.2395990.0986980.3637870.090794-0.551600-0.617801-0.991390-0.3111691.468177-0.4704010.2079710.0257910.4039930.251412-0.0183070.277838-0.1104740.0669280.128539-0.1891150.133558-0.021053149.620
1-1.359807-0.0727812.5363471.378155-0.3383210.4623880.2395990.0986980.3637870.090794-0.551600-0.617801-0.991390-0.3111691.468177-0.4704010.2079710.0257910.4039930.251412-0.0183070.277838-0.1104740.0669280.128539-0.1891150.133558-0.021053149.620
21.1918570.2661510.1664800.4481540.060018-0.082361-0.0788030.085102-0.255425-0.1669741.6127271.0652350.489095-0.1437720.6355580.463917-0.114805-0.183361-0.145783-0.069083-0.225775-0.6386720.101288-0.3398460.1671700.125895-0.0089830.0147242.690
3-1.358354-1.3401631.7732090.379780-0.5031981.8004990.7914610.247676-1.5146540.2076430.6245010.0660840.717293-0.1659462.345865-2.8900831.109969-0.121359-2.2618570.5249800.2479980.7716790.909412-0.689281-0.327642-0.139097-0.055353-0.059752378.660
4-0.966272-0.1852261.792993-0.863291-0.0103091.2472030.2376090.377436-1.387024-0.054952-0.2264870.1782280.507757-0.287924-0.631418-1.059647-0.6840931.965775-1.232622-0.208038-0.1083000.005274-0.190321-1.1755750.647376-0.2219290.0627230.061458123.500
5-1.1582330.8777371.5487180.403034-0.4071930.0959210.592941-0.2705330.8177390.753074-0.8228430.5381961.345852-1.1196700.175121-0.451449-0.237033-0.0381950.8034870.408542-0.0094310.798278-0.1374580.141267-0.2060100.5022920.2194220.21515369.990
6-0.4259660.9605231.141109-0.1682520.420987-0.0297280.4762010.260314-0.568671-0.3714071.3412620.359894-0.358091-0.1371340.5176170.401726-0.0581330.068653-0.0331940.084968-0.208254-0.559825-0.026398-0.371427-0.2327940.1059150.2538440.0810803.670
71.2296580.1410040.0453711.2026130.1918810.272708-0.0051590.0812130.464960-0.099254-1.416907-0.153826-0.7510630.1673720.050144-0.4435870.002821-0.611987-0.045575-0.219633-0.167716-0.270710-0.154104-0.7800550.750137-0.2572370.0345070.0051684.990
8-0.6442691.4179641.074380-0.4921990.9489340.4281181.120631-3.8078640.6153751.249376-0.6194680.2914741.757964-1.3238650.686133-0.076127-1.222127-0.3582220.324505-0.1567421.943465-1.0154550.057504-0.649709-0.415267-0.051634-1.206921-1.08533940.800
9-0.8942860.286157-0.113192-0.2715262.6695993.7218180.3701450.851084-0.392048-0.410430-0.705117-0.110452-0.2862540.074355-0.328783-0.210077-0.4997680.1187650.5703280.052736-0.073425-0.268092-0.2042331.0115920.373205-0.3841570.0117470.14240493.200
V1V2V3V4V5V6V7V8V9V10V11V12V13V14V15V16V17V18V19V20V21V22V23V24V25V26V27V28AmountClass
284798-0.2419230.7122470.399806-0.4634060.244531-1.3436680.929369-0.2062100.106234-0.284708-0.612982-0.066655-0.7329870.237948-0.293959-0.245496-0.174846-0.891169-0.290491-0.139512-0.228876-0.5143760.2795980.371441-0.5592380.1131440.1315070.0812655.490
2847990.2195290.881246-0.6358910.960928-0.152971-1.0143070.4271260.121340-0.285670-0.111640-1.109232-0.453235-1.0469461.1226741.243518-1.4318970.939328-0.0023732.8949520.0066660.0999360.3371200.2517910.057688-1.5083680.1440230.1812050.21524324.050
284800-1.775135-0.0042351.1897860.3310961.1960635.519980-1.5181852.0808251.159498-0.594242-1.2640720.453596-0.243142-0.858719-0.766554-0.6446460.4471840.3887210.7921350.3481760.1033020.654850-0.3489290.7453230.704545-0.1275790.4543790.13030879.990
2848012.039560-0.175233-1.1968250.234580-0.008713-0.7265710.017050-0.1182280.4354020.2677720.5233160.559047-0.8346600.626211-0.5414940.225361-0.605252-0.1630490.561695-0.256922-0.268048-0.7172110.297930-0.359769-0.3156100.201114-0.080826-0.0750712.680
2848020.1203160.931005-0.546012-0.7450971.130314-0.2359730.8127220.115093-0.204064-0.6574220.6448370.190916-0.546329-0.731707-0.8080360.5996280.0704410.3731100.1289040.000676-0.314205-0.8085200.0503430.102800-0.4358700.1240790.2179400.0688032.690
284803-11.88111810.071785-9.834783-2.066656-5.364473-2.606837-4.9182157.3053341.9144284.356170-1.5931052.711941-0.6892564.626942-0.9244591.1076411.9916910.510632-0.6829201.4758290.2134540.1118641.014480-0.5093481.4368070.2500340.9436510.8237310.770
284804-0.732789-0.0550802.035030-0.7385890.8682291.0584150.0243300.2948690.584800-0.975926-0.1501890.9158021.214756-0.6751431.164931-0.711757-0.025693-1.221179-1.5455560.0596160.2142050.9243840.012463-1.016226-0.606624-0.3952550.068472-0.05352724.790
2848051.919565-0.301254-3.249640-0.5578282.6305153.031260-0.2968270.7084170.432454-0.4847820.4116140.063119-0.183699-0.5106021.3292840.1407160.3135020.395652-0.5772520.0013960.2320450.578229-0.0375010.6401340.265745-0.0873710.004455-0.02656167.880
284806-0.2404400.5304830.7025100.689799-0.3779610.623708-0.6861800.6791450.392087-0.399126-1.933849-0.962886-1.0420820.4496241.962563-0.6085770.5099281.1139812.8978490.1274340.2652450.800049-0.1632980.123205-0.5691590.5466680.1088210.10453310.000
284807-0.533413-0.1897330.703337-0.506271-0.012546-0.6496171.577006-0.4146500.486180-0.915427-1.040458-0.031513-0.188093-0.0843160.041333-0.302620-0.6603770.167430-0.2561170.3829480.2610570.6430780.3767770.008797-0.473649-0.818267-0.0024150.013649217.000

Duplicate rows

Most frequently occurring

V1V2V3V4V5V6V7V8V9V10V11V12V13V14V15V16V17V18V19V20V21V22V23V24V25V26V27V28AmountClass# duplicates
22241.2456740.1669750.4883060.635322-0.562777-1.0110730.014953-0.1602110.170362-0.044575-0.356749-0.073460-0.5177600.4069691.1241470.342470-0.374656-0.438992-0.116091-0.132080-0.262581-0.8162640.1403040.3578270.1864230.096544-0.0358660.0184958.99077
42082.055797-0.326668-2.752041-0.8423162.4630723.173856-0.4321260.7277060.608606-0.0751860.0635040.350564-0.1412380.6909721.275257-0.371962-0.601957-0.052640-0.330590-0.1803700.2697650.8446270.0206750.7262120.366624-0.3988280.027735-0.0602821.00077
41422.0533110.089735-1.6818360.4542120.298310-0.9535260.152003-0.2070710.587335-0.362047-0.589598-0.174712-0.621127-0.7035130.2719570.3186880.549365-0.2577860.016256-0.187421-0.361158-0.9842620.3541980.620709-0.2971380.166736-0.068299-0.0295858.99062
26701.302378-0.606529-0.681986-1.9046031.3266233.436312-1.1451270.9591471.671302-1.022946-0.1914230.6310270.031907-0.0314251.446627-0.121820-0.6514050.6179700.9276000.005757-0.064208-0.080587-0.0729911.0181360.663575-0.6713230.0968010.0286971.00060
39152.040211-0.146975-2.955934-0.5783562.6093583.142642-0.4168830.7843930.359902-0.3510750.3296510.183508-0.272919-0.5974370.5838970.1786760.473898-0.498850-0.140099-0.120714-0.352334-0.9969370.3634850.604827-0.2645600.219671-0.039209-0.0427871.98053
46872.0851750.393051-4.508201-0.3117713.5101172.4532990.2204690.543377-0.100434-1.0186220.807038-0.330548-0.531419-2.1814490.3887240.2320712.1250220.405549-0.440930-0.086989-0.067217-0.072642-0.0365840.5296930.4146850.735870-0.058233-0.0266580.76048
27911.3328490.389198-2.165597-0.3068732.6413512.808084-0.1716270.683352-0.297962-0.6520970.418003-0.322437-0.143469-1.1545241.1576340.8781750.5369180.7128730.0067740.053607-0.207432-0.692417-0.1185980.8914800.7302400.384013-0.0284650.0361230.76045
9171.0184121.036663-1.6898141.3154761.6984360.5288070.3317150.364539-0.711798-1.5702883.4630180.538411-0.378095-3.0454951.468911-0.0297423.664588-0.105190-2.097944-0.167555-0.0402380.096172-0.092549-1.3456640.510305-0.1826740.1070580.0718180.89040
27961.3350530.331464-2.057763-0.3461752.5832342.854102-0.1875470.685154-0.286614-0.5359030.332848-0.268319-0.127614-0.8683001.1285390.7865060.3164350.5878560.0493500.045217-0.191820-0.650118-0.1140690.9159360.7300730.383879-0.0319020.0298490.76039
691-0.3025210.447474-0.495757-3.2147992.7050412.7624400.5938470.5564510.697720-1.090181-0.1110880.062652-0.2384570.2157381.069356-0.255231-1.0720850.4851100.2713150.1560890.0073430.250886-0.3316001.0099520.233730-0.8244710.241305-0.0203591.00036